The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-23"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "78704434 (up from 78011432 yesterday: 0.89 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1730663 (up from 1717055 yesterday: 0.79 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 14108331

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.2



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 18458373 228131 1.25 4472939 326124 3359 1.04 1.77
India 10123778 24712 0.24 588814 146756 312 0.21 1.45
Brazil 7365517 46696 0.64 928867 189220 961 0.51 2.57
Russia 2905196 26814 0.93 578091 51810 536 1.05 1.78
France 2562615 15038 0.59 263149 62098 277 0.45 2.42
United Kingdom 2155996 39387 1.86 492529 69157 748 1.09 3.21
Turkey 2082610 19650 0.95 1381730 18861 259 1.39 0.91
Italy 1991278 13908 0.70 349668 70395 553 0.79 3.54
Spain 1842289 12386 0.68 176514 49698 178 0.36 2.70
Germany 1604129 33758 2.15 486176 28909 813 2.89 1.80
Argentina 1563865 8586 0.55 123762 42314 60 0.14 2.71
Colombia 1544826 14233 0.93 210737 41174 243 0.59 2.67
Mexico 1350079 11653 0.87 216466 120311 816 0.68 8.91
Poland 1226883 12358 1.02 213136 26255 472 1.83 2.14
Iran 1177004 6261 0.53 187432 54156 153 0.28 4.60
Ukraine 1018199 10572 1.05 239639 17823 288 1.64 1.75
Peru 1000153 1678 0.17 36548 37218 45 0.12 3.72
South Africa 954258 14046 1.49 157786 25657 411 1.63 2.69
Netherlands 731902 10473 1.45 190664 10825 105 0.98 1.48
Indonesia 685639 7514 1.11 136131 20408 151 0.75 2.98
Czechia 646312 10898 1.72 113270 10664 102 0.97 1.65
Belgium 632321 3212 0.51 50069 18939 118 0.63 3.00
Romania 604251 5459 0.91 119701 14766 130 0.89 2.44
Chile 590914 1725 0.29 37016 16228 11 0.07 2.75
Iraq 587676 1173 0.20 30948 12737 12 0.09 2.17
Canada 532506 6921 1.32 139000 14616 172 1.19 2.74
Bangladesh 504868 1367 0.27 35445 7359 30 0.41 1.46
Pakistan 465070 2256 0.49 58260 9668 111 1.16 2.08
Philippines 464004 1189 0.26 29647 9048 27 0.30 1.95
Switzerland 423299 5033 1.20 87639 7029 105 1.52 1.66
Morocco 423214 2566 0.61 59024 7086 56 0.80 1.67
Sweden 396048 6609 1.70 129890 8279 112 1.37 2.09
Israel 385022 2535 0.66 45054 3150 14 0.45 0.82
Portugal 383258 4602 1.22 79412 6343 89 1.42 1.66
Saudi Arabia 361536 177 0.05 3664 6148 9 0.15 1.70
Austria 344357 2131 0.62 54896 5654 114 2.06 1.64
Serbia 312253 4426 1.44 120897 2833 51 1.83 0.91
Hungary 308262 1894 0.62 83053 8616 154 1.82 2.80
Jordan 281983 2091 0.75 54775 3652 25 0.69 1.30
Nepal 255979 743 0.29 19733 1803 5 0.28 0.70
Panama 220261 3059 1.41 50922 3664 32 0.88 1.66
Georgia 214871 2345 1.10 71495 2233 51 2.34 1.04
Azerbaijan 208211 2334 1.13 78667 2340 46 2.01 1.12
Ecuador 207084 720 0.35 12208 13962 13 0.09 6.74
Japan 207007 3275 1.61 53575 2941 64 2.22 1.42
Croatia 200086 2763 1.40 65205 3394 66 1.98 1.70
United Arab Emirates 197124 1246 0.64 25690 645 3 0.47 0.33
Bulgaria 195886 1615 0.83 43973 6978 99 1.44 3.56
Kazakhstan 194257 754 0.39 17915 2677 0 0.00 1.38
Belarus 179196 1922 1.08 39288 1349 8 0.60 0.75
Lebanon 163225 2246 1.40 31928 1333 22 1.68 0.82
Dominican Republic 162496 566 0.35 17299 2401 3 0.13 1.48
Costa Rica 161942 1138 0.71 20602 2065 14 0.68 1.28
Slovakia 158905 3687 2.38 49679 1686 68 4.20 1.06
Armenia 155440 838 0.54 18209 2691 18 0.67 1.73
Bolivia 152064 1005 0.67 7070 9065 13 0.14 5.96
Kuwait 148773 266 0.18 5513 924 1 0.11 0.62
Denmark 144053 3303 2.35 59997 1096 26 2.43 0.76
Qatar 142448 140 0.10 3192 243 0 0.00 0.17
Moldova 138213 1282 0.94 27633 2825 22 0.78 2.04
Guatemala 134256 655 0.49 10796 4739 21 0.45 3.53
Greece 133365 935 0.71 23710 4402 62 1.43 3.30
Oman 128236 93 0.07 4091 1491 1 0.07 1.16
Egypt 127972 911 0.72 11248 7209 42 0.59 5.63
West Bank and Gaza 127376 1870 1.49 37184 1226 28 2.34 0.96
Tunisia 125000 1677 1.36 25720 4275 38 0.90 3.42
Ethiopia 120989 351 0.29 10005 1870 6 0.32 1.55
Lithuania 120094 3736 3.21 57579 1143 50 4.57 0.95
Burma 118869 923 0.78 25269 2507 23 0.93 2.11
Honduras 118036 448 0.38 8892 3054 8 0.26 2.59
Venezuela 111024 196 0.18 7957 1002 5 0.50 0.90
Slovenia 109934 2129 1.97 30368 2454 36 1.49 2.23
Bosnia and Herzegovina 107570 584 0.55 17192 3838 46 1.21 3.57
Paraguay 102371 827 0.81 17889 2138 18 0.85 2.09

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2002494 43986 2.25 737312 23558 319 1.37 1.18 50680.37 596.22 1 in 20
Texas 1648569 21955 1.35 323200 26406 289 1.11 1.60 56855.28 910.68 1 in 18
Florida 1234399 11384 0.93 216239 20874 120 0.58 1.69 57473.42 971.89 1 in 17
Illinois 918070 6762 0.74 169467 16842 171 1.03 1.83 72449.73 1329.09 1 in 14
New York 878702 11937 1.38 214398 36876 152 0.41 4.20 45169.21 1895.59 1 in 22
Ohio 644822 7790 1.22 206894 8361 109 1.32 1.30 55164.38 715.28 1 in 18
Georgia 608290 7773 1.29 126151 10519 56 0.54 1.73 57291.68 990.73 1 in 17
Pennsylvania 586474 9687 1.68 205523 14440 243 1.71 2.46 45811.16 1127.95 1 in 22
Tennessee 541240 7221 1.35 156955 6380 111 1.77 1.18 79207.70 933.68 1 in 13
Michigan 508449 3820 0.76 105563 12415 73 0.59 2.44 50911.81 1243.13 1 in 20
Wisconsin 500443 3063 0.62 79513 4953 74 1.52 0.99 85950.82 850.68 1 in 12
North Carolina 494511 5609 1.15 122917 6360 69 1.10 1.29 47149.79 606.40 1 in 21
Indiana 476538 4662 0.99 125568 7645 64 0.84 1.60 70784.68 1135.58 1 in 14
Arizona 473273 6058 1.30 132294 8179 54 0.66 1.73 62150.97 1074.08 1 in 16
New Jersey 445138 4772 1.08 98932 18466 140 0.76 4.15 50115.79 2078.99 1 in 20
Minnesota 402519 1508 0.38 75042 5030 75 1.51 1.25 71373.27 891.90 1 in 14
Missouri 383261 3108 0.82 71215 5406 105 1.98 1.41 62446.52 880.82 1 in 16
Massachusetts 335988 4814 1.45 101756 11887 83 0.70 3.54 48347.05 1710.48 1 in 21
Alabama 334569 4758 1.44 77741 4587 135 3.03 1.37 68235.03 935.51 1 in 15
Virginia 319133 4652 1.48 76653 4760 55 1.17 1.49 37388.82 557.67 1 in 27
Colorado 316500 2948 0.94 75328 4462 93 2.13 1.41 54959.98 774.82 1 in 18
Louisiana 293934 2974 1.02 52599 7226 68 0.95 2.46 63228.01 1554.38 1 in 16
South Carolina 282230 4175 1.50 61395 5028 52 1.05 1.78 54815.63 976.55 1 in 18
Iowa 272112 1818 0.67 35953 3667 15 0.41 1.35 86245.95 1162.26 1 in 12
Oklahoma 269276 3656 1.38 66935 2283 43 1.92 0.85 68051.04 576.96 1 in 15
Maryland 257862 2465 0.97 54507 5568 49 0.89 2.16 42652.27 920.99 1 in 23
Utah 257697 2612 1.02 55477 1196 23 1.96 0.46 80380.65 373.06 1 in 12
Kentucky 250279 2936 1.19 63514 2466 26 1.07 0.99 56019.99 551.97 1 in 18
Washington 230202 2315 1.02 52844 3162 31 0.99 1.37 30230.50 415.24 1 in 33
Kansas 212852 4786 2.30 47997 2493 45 1.84 1.17 73061.81 855.73 1 in 14
Nevada 209962 2988 1.44 52965 2869 46 1.63 1.37 68166.03 931.45 1 in 15
Arkansas 207941 2893 1.41 46420 3376 38 1.14 1.62 68904.26 1118.69 1 in 15
Mississippi 200325 2634 1.33 43457 4533 43 0.96 2.26 67310.14 1523.11 1 in 15
Connecticut 170705 1745 1.03 49279 5736 33 0.58 3.36 47879.74 1608.85 1 in 21
Nebraska 159662 1338 0.85 27132 1561 40 2.63 0.98 82537.91 806.97 1 in 12
Idaho 133985 1391 1.05 29251 1324 11 0.84 0.99 74765.70 738.81 1 in 13
New Mexico 133242 1167 0.88 32279 2243 40 1.82 1.68 63544.52 1069.71 1 in 16
Oregon 105970 897 0.85 27810 1403 21 1.52 1.32 25124.85 332.64 1 in 40
South Dakota 96040 531 0.56 13837 1389 8 0.58 1.45 108561.60 1570.10 1 in 9
North Dakota 90722 270 0.30 10587 1243 5 0.40 1.37 119048.06 1631.10 1 in 8
Rhode Island 82066 879 1.08 23061 1704 26 1.55 2.08 77467.45 1608.52 1 in 13
Montana 78522 575 0.74 14182 914 19 2.12 1.16 73468.95 855.18 1 in 14
West Virginia 75936 1199 1.60 26031 1194 23 1.96 1.57 42490.07 668.10 1 in 24
Puerto Rico 70488 576 0.82 16780 1408 17 1.22 2.00 22070.99 440.87 1 in 45
Delaware 52235 612 1.19 15537 872 0 0.00 1.67 53642.36 895.49 1 in 19
Alaska 44828 365 0.82 11026 197 3 1.55 0.44 61278.53 269.29 1 in 16
Wyoming 42664 285 0.67 8157 373 0 0.00 0.87 73716.35 644.48 1 in 14
New Hampshire 38512 504 1.33 16144 677 21 3.20 1.76 28323.67 497.90 1 in 35
District of Columbia 27226 326 1.21 5384 751 7 0.94 2.76 38577.45 1064.12 1 in 26
Hawaii 20868 95 0.46 2526 285 3 1.06 1.37 14738.62 201.29 1 in 68
Maine 20491 748 3.79 8283 311 8 2.64 1.52 15243.88 231.36 1 in 66
Vermont 6680 72 1.09 2219 117 5 4.46 1.75 10705.32 187.50 1 in 93

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 30468560 2002494 6.57 6169434 737312 11.95 771117.3
2 Texas 13021855 1648569 12.66 2089309 323200 15.47 449093.3
3 Florida 14941870 1234399 8.26 2325989 216239 9.30 695691.1
4 Illinois 12688071 918070 7.24 1988485 169467 8.52 1001282.4
5 New York 23843897 878702 3.69 4082173 214398 5.25 1225682.9
6 Ohio 7412467 644822 8.70 1194723 206894 17.32 634135.0
7 Georgia 5086136 608290 11.96 723172 126151 17.44 479036.8
8 Pennsylvania 3762422 586474 15.59 534367 205523 38.46 293893.5
9 Tennessee 5446359 541240 9.94 840970 156955 18.66 797046.7
10 Michigan 7850048 508449 6.48 1088026 105563 9.70 786037.9
11 Wisconsin 5139420 500443 9.74 660221 79513 12.04 882692.7
12 North Carolina 6547998 494511 7.55 1169994 122917 10.51 624327.4
13 Indiana 5376575 476538 8.86 1034089 125568 12.14 798633.4
14 Arizona 2698015 473273 17.54 409811 132294 32.28 354307.7
15 New Jersey 7347647 445138 6.06 1214060 98932 8.15 827233.7
16 Minnesota 5094803 402519 7.90 876186 75042 8.56 903392.8
17 Missouri 3513613 383261 10.91 409874 71215 17.37 572489.5
18 Massachusetts 10399569 335988 3.23 1833307 101756 5.55 1496447.9
19 Alabama 1813351 334569 18.45 209828 77741 37.05 369831.2
20 Virginia 4029903 319133 7.92 679007 76653 11.29 472133.3
21 Colorado 4153784 316500 7.62 864884 75328 8.71 721301.3
22 Louisiana 4050466 293934 7.26 531967 52599 9.89 871293.9
23 South Carolina 2975719 282230 9.48 542818 61395 11.31 577953.8
24 Iowa 1154784 272112 23.56 76755 35953 46.84 366009.0
25 Oklahoma 2543255 269276 10.59 400176 66935 16.73 642727.7
26 Maryland 5419999 257862 4.76 923988 54507 5.90 896507.8
27 Utah 2155708 257697 11.95 307392 55477 18.05 672406.8
28 Kentucky 3061692 250279 8.17 441883 63514 14.37 685299.0
29 Washington 3590459 230202 6.41 696092 52844 7.59 471504.8
30 Kansas 962204 212852 22.12 131022 47997 36.63 330278.2
31 Nevada 1984938 209962 10.58 319939 52965 16.55 644427.8
32 Arkansas 1970855 207941 10.55 267589 46420 17.35 653071.3
33 Mississippi 1327983 200325 15.08 188720 43457 23.03 446208.5
34 Connecticut 4087417 170705 4.18 759977 49279 6.48 1146448.2
35 Nebraska 1662324 159662 9.60 276123 27132 9.83 859345.1
36 Idaho 530538 133985 25.25 53290 29251 54.89 296048.4
37 New Mexico 1861862 133242 7.16 269640 32279 11.97 887941.7
38 Oregon 2517896 105970 4.21 1470621 27810 1.89 596977.9
39 South Dakota 365126 96040 26.30 32586 13837 42.46 412730.8
40 North Dakota 1211720 90722 7.49 115381 10587 9.18 1590054.4
41 Rhode Island 1887457 82066 4.35 312926 23061 7.37 1781693.9
42 Montana 766196 78522 10.25 102615 14182 13.82 716889.8
43 West Virginia 1423899 75936 5.33 264218 26031 9.85 796744.2
45 Delaware 913754 52235 5.72 165715 15537 9.38 938373.2
46 Alaska 1222027 44828 3.67 197384 11026 5.59 1670474.1
47 Wyoming 478351 42664 8.92 70026 8157 11.65 826511.6
48 New Hampshire 979534 38512 3.93 147885 16144 10.92 720398.7
49 District of Columbia 849992 27226 3.20 148507 5384 3.63 1204382.9
50 Hawaii 781435 20868 2.67 103990 2526 2.43 551910.8
51 Maine 1058598 20491 1.94 166257 8283 4.98 787523.1
52 Vermont 663684 6680 1.01 104109 2219 2.13 1063614.9

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4705264 464599 2153 0.47 9.87 4243 536 60239 24610 5.30
Veneto 3165214 225945 3357 1.51 7.14 2660 350 103326 5747 2.54
Piemonte 1633219 191443 933 0.49 11.72 3239 215 36561 7679 4.01
Campania 1946290 183117 1067 0.59 9.41 1513 107 79947 2643 1.44
Emilia-Romagna 2469690 159472 1129 0.71 6.46 2803 207 58025 7259 4.55
Lazio 2603776 152457 946 0.62 5.86 2740 286 75702 3434 2.25
Toscana 1818397 116979 435 0.37 6.43 903 166 11357 3517 3.01
Sicilia 1164552 87024 932 1.08 7.47 1028 176 33614 2213 2.54
Puglia 984555 83205 942 1.15 8.45 1417 172 52872 2265 2.72
Liguria 684768 58198 228 0.39 8.50 689 64 6177 2819 4.84
Friuli Venezia Giulia 887279 45884 512 1.13 5.17 595 56 12275 1499 3.27
Marche 499038 38292 498 1.32 7.67 411 61 9559 1495 3.90
Abruzzo 496034 33875 255 0.76 6.83 506 39 12019 1151 3.40
Sardegna 458742 29136 269 0.93 6.35 519 44 15969 689 2.36
P.A. Bolzano 350170 28398 131 0.46 8.11 170 19 9214 699 2.46
Umbria 484909 27553 157 0.57 5.68 239 40 3548 584 2.12
Calabria 422145 21777 284 1.32 5.16 297 19 8242 436 2.00
P.A. Trento 435028 20447 157 0.77 4.70 346 47 1666 878 4.29
Basilicata 177942 10223 99 0.98 5.75 91 9 5872 231 2.26
Valle d’Aosta 60760 7084 11 0.16 11.66 84 4 430 370 5.22
Molise 110811 6170 27 0.44 5.57 53 7 2202 177 2.87

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 183523 2247 1.24 7867 73 0.94 4.29 21495.67 921.45 1 in 47
Ontario 166802 2484 1.51 4248 41 0.97 2.55 11337.95 288.75 1 in 88
Alberta 93781 1301 1.41 890 19 2.18 0.95 21250.37 201.67 1 in 47
British Columbia 48027 517 1.09 796 19 2.45 1.66 9396.94 155.75 1 in 106
Manitoba 23381 201 0.87 605 15 2.54 2.59 16973.29 439.20 1 in 59
Saskatchewan 14101 159 1.14 130 5 4.00 0.92 11933.15 110.01 1 in 84
Nova Scotia 1458 4 0.28 65 0 0.00 4.46 1491.63 66.50 1 in 670
New Brunswick 585 5 0.86 8 0 0.00 1.37 750.01 10.26 1 in 1333
Newfoundland and Labrador 384 1 0.26 4 0 0.00 1.04 736.53 7.67 1 in 1358
Nunavut 264 2 0.76 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 91 0 0.00 0 0 NaN 0.00 575.37 0.00 1 in 1738
Yukon 59 0 0.00 1 0 0.00 1.69 1436.29 24.34 1 in 696
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 56413.12 996.71 1 in 18
India 7560.70 109.60 1 in 132
Brazil 35191.19 904.06 1 in 28
Russia 20105.16 358.55 1 in 50
France 38253.69 926.97 1 in 26
United Kingdom 32450.27 1040.89 1 in 31
Turkey 25771.69 233.40 1 in 39
Italy 32924.57 1163.94 1 in 30
Spain 39483.26 1065.11 1 in 25
Germany 19375.88 349.18 1 in 52
Argentina 35325.62 955.82 1 in 28
Colombia 31482.09 839.09 1 in 32
Mexico 10449.53 931.20 1 in 96
Poland 32303.40 691.28 1 in 31
Iran 14502.27 667.27 1 in 69
Ukraine NA NA 1 in NA
Peru 31089.62 1156.92 1 in 32
South Africa 16824.01 452.34 1 in 59
Netherlands 42601.98 630.09 1 in 23
Indonesia 2597.12 77.30 1 in 385

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 663954 9153 1.38
Cook Illinois 377709 7908 2.09
Maricopa Arizona 291412 4781 1.64
Miami-Dade Florida 280982 4096 1.46
Harris Texas 224245 3283 1.46
Dallas Texas 179418 1871 1.04
San Bernardino California 170885 1407 0.82
Clark Nevada 158750 2214 1.39
Riverside California 156834 1805 1.15
Orange California 134850 1781 1.32
San Diego California 134696 1350 1.00
Tarrant Texas 134091 1329 0.99
Broward Florida 129897 1796 1.38
Queens New York 113214 7479 6.61
Kings New York 111673 7645 6.85
Bexar Texas 106793 1652 1.55
Salt Lake Utah 101258 526 0.52
El Paso Texas 96078 1567 1.63
Philadelphia Pennsylvania 89164 2348 2.63
Milwaukee Wisconsin 88522 966 1.09
Suffolk New York 85385 2211 2.59
Hennepin Minnesota 83795 1328 1.58
Wayne Michigan 82216 3542 4.31
Nassau New York 78983 2346 2.97
Palm Beach Florida 78187 1842 2.36
Franklin Ohio 77807 695 0.89
Bronx New York 77148 5092 6.60
Hillsborough Florida 71957 1046 1.45
Orange Florida 70814 726 1.03
Middlesex Massachusetts 68154 2626 3.85
St. Louis Missouri 65794 1324 2.01
Marion Indiana 65710 1063 1.62
Cuyahoga Ohio 64653 874 1.35
Westchester New York 64560 1624 2.52
Utah Utah 62816 202 0.32
Shelby Tennessee 62386 835 1.34
Pima Arizona 62159 946 1.52
Kern California 60260 482 0.80
Santa Clara California 59923 632 1.05
Fresno California 59640 646 1.08
King Washington 59383 974 1.64
Oakland Michigan 58949 1572 2.67
DuPage Illinois 58741 966 1.64
Sacramento California 58001 786 1.36
New York New York 57997 3278 5.65
Mecklenburg North Carolina 57755 514 0.89
Davidson Tennessee 57330 529 0.92
Duval Florida 56229 711 1.26
Providence Rhode Island 55922 1277 2.28
Oklahoma Oklahoma 54519 410 0.75
Essex Massachusetts 52699 1618 3.07
Fairfield Connecticut 52574 1660 3.16
Gwinnett Georgia 52387 583 1.11
Fulton Georgia 52321 771 1.47
Prince George’s Maryland 51462 1046 2.03
Douglas Nebraska 50726 484 0.95
Suffolk Massachusetts 50032 1332 2.66
Will Illinois 49861 736 1.48
Hidalgo Texas 49348 2168 4.39
Allegheny Pennsylvania 48738 867 1.78
Jefferson Kentucky 48487 512 1.06
Hamilton Ohio 48185 409 0.85
Macomb Michigan 48060 1543 3.21
Jefferson Alabama 47754 630 1.32
Travis Texas 47076 528 1.12
Lake Illinois 46271 765 1.65
Alameda California 45751 616 1.35
Denver Colorado 45575 643 1.41
Tulsa Oklahoma 44818 361 0.81
Essex New Jersey 44669 2353 5.27
Bergen New Jersey 44166 2267 5.13
New Haven Connecticut 43568 1460 3.35
Collin Texas 43169 340 0.79
Montgomery Maryland 42975 1076 2.50
Hartford Connecticut 42786 1777 4.15
Kent Michigan 41834 511 1.22
Middlesex New Jersey 41673 1617 3.88
Pinellas Florida 41654 1007 2.42
Hudson New Jersey 40822 1668 4.09
Fairfax Virginia 40785 663 1.63
Polk Iowa 40049 401 1.00
Cobb Georgia 39869 558 1.40
Lubbock Texas 39850 511 1.28
Kane Illinois 39712 573 1.44
Wake North Carolina 39487 337 0.85
San Joaquin California 39423 592 1.50
El Paso Colorado 38960 511 1.31
Passaic New Jersey 38270 1418 3.71
Bernalillo New Mexico 38192 500 1.31
Adams Colorado 37934 480 1.27
Worcester Massachusetts 37915 1435 3.78
Lee Florida 37909 645 1.70
Erie New York 37755 1102 2.92
Lake Indiana 37686 565 1.50
Sedgwick Kansas 36975 349 0.94
Johnson Kansas 36727 410 1.12
Baltimore Maryland 36582 889 2.43
Denton Texas 36303 312 0.86
Ramsey Minnesota 36066 649 1.80
Arapahoe Colorado 36007 527 1.46

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc